Capability Development / AI
Architecting Agentic AI Business Solutions (AB-100)
This training provides a structured learning path for architects, senior consultants and technical leaders responsible for planning and implementing AI-powered business solutions. It focuses on agentic AI concepts, Microsoft AI services, Copilot Studio, Microsoft 365 Copilot, Dynamics 365, Power Platform, Microsoft Foundry, data grounding, multi-agent design, cost-benefit analysis, testing, monitoring, ALM and responsible AI governance.
Program Overview
This training provides a structured learning path for architects, senior consultants and technical leaders responsible for planning and implementing AI-powered business solutions. It focuses on agentic AI concepts, Microsoft AI services, Copilot Studio, Microsoft 365 Copilot, Dynamics 365, Power Platform, Microsoft Foundry, data grounding, multi-agent design, cost-benefit analysis, testing, monitoring, ALM and responsible AI governance.
Audience Profile
Built for architects, senior consultants and technical leaders who plan, evaluate and govern agentic AI business solutions that must automate tasks, improve decision-making and deliver measurable enterprise value using Microsoft AI technologies.
Course Syllabus
Module 1: Introduction to Agentic AI Business Solutions
Topics
- Drive AI transformation with architect strategies
- Explore Microsoft AI technologies for business
- Identify out-of-box Microsoft AI agents and resources
Module 2: Analyze Requirements for AI-Powered Solutions
Topics
- Assess agents for task automation, analytics and decision-making
- Review data for grounding accuracy, relevance and availability
- Organize business solution data for AI systems
Module 3: Design Overall AI Strategy
Topics
- Implement AI adoption process with Azure
- Design multi-agent solutions and prebuilt Copilot use cases
- Determine when to build, extend or create custom AI models
- Provide prompt engineering guidelines and a prompt library
- Evaluate regional AI data regulation compliance
Module 4: Evaluate Costs and Benefits of AI Solutions
Topics
- Evaluate ROI criteria and build a ROI analysis
- Analyze build vs. buy vs. extend decisions
- Implement a model router for intelligent request routing
Module 5: Design AI Agents for Business Solutions
Topics
- Define responsible AI guidelines for business solutions
- Design Copilot customizations across Dynamics 365 apps
- Design task, autonomous and prompt-driven agents in Copilot Studio
- Design topics, agent flows and prompt actions in Copilot Studio
Module 6: Design Extensibility, Orchestration and Monitoring
Topics
- Design extensible agents with MCP in Copilot Studio
- Orchestrate prebuilt agents across Microsoft 365 and Dynamics 365
- Recommend tools for monitoring, analyzing and tuning agents
Module 7: Testing, ALM, Security and Governance
Topics
- Create validation criteria and end-to-end test scenarios
- Design ALM processes for data, agents and custom AI models
- Design security, governance, risk management and compliance controls
- Analyze AI vulnerabilities and mitigate prompt manipulation